Making Progress Toward Goals in a Series of Small Steps

1️⃣ Forming a Hypothesis for Improvement

👉 What do we believe will improve outcomes?

“If AI automatically handles repetitive tasks in users’ workflows, then users will spend less time on manual work and more time on meaningful activities.”

Why this is a good hypothesis:

• Clear cause → effect
• Tied to the vision
• Testable and measurable
• Focused on outcomes, not features

🧠 Memory line: If we do X, Y will improve.

2️⃣ Running Your Experiments

👉 How do we test the hypothesis?

• Release AI automation for one high-effort task
• Enable it for a small group of users
• Measure time spent before and after
• Collect user feedback on effort and clarity

📌 Small, safe, fast experiments.

🧠 Memory line: Test with real users.